Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "207" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 86 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 84 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459903 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.186709 | 2.667968 | 1.402345 | -0.362749 | 0.326246 | -0.488404 | -2.402169 | -0.342901 | 0.6240 | 0.6405 | 0.3836 | nan | nan |
| 2459902 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.770160 | 3.154269 | 1.630437 | -0.064081 | 0.583180 | 6.714768 | -0.820199 | -0.780988 | 0.6306 | 0.6408 | 0.3774 | nan | nan |
| 2459901 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.107179 | 2.711972 | 1.070626 | -0.936439 | 0.078211 | -0.118757 | -1.462327 | -0.990292 | 0.6240 | 0.6358 | 0.3895 | nan | nan |
| 2459900 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.994058 | 2.019636 | 1.068647 | -0.974677 | 0.385890 | 0.450335 | -1.324124 | -0.906208 | 0.5763 | 0.5939 | 0.3283 | nan | nan |
| 2459898 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.253861 | 1.961778 | 1.182740 | -0.854507 | 0.279996 | -0.796921 | -1.995819 | -0.923837 | 0.6331 | 0.6424 | 0.3830 | nan | nan |
| 2459897 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.372678 | 1.812582 | 1.550606 | -0.398683 | 1.177975 | 5.006177 | -1.319331 | -0.997722 | 0.6339 | 0.6379 | 0.3813 | nan | nan |
| 2459896 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.225311 | 1.461567 | 1.372131 | 0.073960 | 0.144559 | 2.853439 | -1.180496 | -1.010469 | 0.6344 | 0.6442 | 0.3795 | nan | nan |
| 2459895 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.343243 | 2.396863 | 1.950381 | -0.007175 | 1.563766 | -1.166782 | 1.306811 | -0.886095 | 0.7397 | 0.7277 | 0.2604 | nan | nan |
| 2459894 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.534233 | 2.326991 | 1.393433 | -0.521379 | 0.928598 | 6.701592 | -1.048236 | -0.935199 | 0.6449 | 0.6371 | 0.3717 | nan | nan |
| 2459893 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.590048 | 1.825203 | 1.184961 | -0.283239 | 0.978154 | 1.176661 | -1.899883 | -1.661663 | 0.6462 | 0.6522 | 0.3698 | nan | nan |
| 2459892 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.478391 | 1.842742 | 1.425507 | -0.153129 | -0.039692 | 0.536264 | -1.673409 | -1.339416 | 0.6410 | 0.6541 | 0.3738 | nan | nan |
| 2459891 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.226469 | 1.759140 | 1.784918 | 0.114934 | 0.770453 | 0.523529 | -1.683650 | -1.543832 | 0.6360 | 0.6480 | 0.3787 | nan | nan |
| 2459890 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.225978 | 1.950872 | 1.963448 | 0.045146 | 0.673173 | 1.181127 | -0.488236 | -1.074122 | 0.6403 | 0.6439 | 0.3764 | nan | nan |
| 2459889 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.656062 | 2.151761 | 1.713428 | -0.031452 | 0.193967 | 0.795238 | -2.056449 | -2.196479 | 0.6479 | 0.6499 | 0.3729 | nan | nan |
| 2459888 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.176656 | 1.656006 | 1.851494 | 0.332210 | 1.073958 | 1.040254 | -0.115683 | -0.740585 | 0.6614 | 0.6668 | 0.3715 | nan | nan |
| 2459887 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.609195 | 1.414536 | 0.858207 | -0.268034 | -0.359336 | -1.130398 | -1.049250 | -1.039969 | 0.6486 | 0.6526 | 0.3751 | nan | nan |
| 2459886 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.796492 | 9.288725 | 1.102283 | 0.091442 | 1.757784 | 1.501639 | -0.213663 | -0.630419 | 0.7390 | 0.7189 | 0.3074 | nan | nan |
| 2459885 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.544696 | 4.848770 | 29.781756 | 23.732045 | 3.958590 | 5.952287 | 9.682489 | 4.050558 | 0.7039 | 0.6952 | 0.3327 | nan | nan |
| 2459884 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.122853 | 1.466962 | 1.808089 | 0.416284 | 0.536965 | -0.977531 | -1.375181 | -1.476929 | 0.6484 | 0.6447 | 0.3749 | nan | nan |
| 2459883 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.539198 | 4.024894 | 26.247752 | 21.283448 | 2.194004 | 3.412754 | -0.492781 | -0.852426 | 0.6542 | 0.6548 | 0.3624 | nan | nan |
| 2459882 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.194607 | 6.956952 | 30.687032 | 23.437951 | 3.097582 | 4.885400 | 0.203631 | -0.845990 | 0.6602 | 0.6539 | 0.3569 | nan | nan |
| 2459881 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.371767 | 3.710179 | 34.617996 | 27.193800 | 6.334840 | 7.155446 | -0.713901 | -0.028091 | 0.7012 | 0.7069 | 0.3091 | nan | nan |
| 2459880 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.966361 | 4.554287 | 27.673543 | 22.361684 | 1.704452 | 3.074422 | -0.274473 | -1.264628 | 0.6525 | 0.6546 | 0.3709 | nan | nan |
| 2459879 | RF_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.103651 | 0.953847 | -0.675306 | -1.887350 | -2.026685 | -1.509662 | -2.031896 | -1.811877 | 0.6407 | 0.6526 | 0.3817 | nan | nan |
| 2459878 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.661015 | 4.139527 | 33.931589 | 27.778583 | 3.308668 | 4.994457 | -1.888663 | -2.613922 | 0.6473 | 0.6584 | 0.3755 | nan | nan |
| 2459839 | RF_ok | 100.00% | - | - | - | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459830 | RF_ok | 100.00% | 59.68% | 59.68% | 0.00% | 100.00% | 0.00% | 28.724931 | 25.883023 | 17.483701 | 13.912011 | 31.946289 | 25.975653 | 11.501060 | 8.862589 | 0.3216 | 0.2302 | 0.2091 | 1.297755 | 1.303163 |
| 2459829 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 31.357030 | 30.953119 | 16.744631 | 13.523186 | 13.891978 | 12.577769 | 33.543810 | 33.949507 | 0.7131 | 0.6192 | 0.4301 | 26.510583 | 27.102934 |
| 2459828 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.502760 | 22.795346 | 12.830220 | 10.458904 | 20.028370 | 13.894247 | 19.722520 | 20.417951 | 0.7759 | 0.4969 | 0.5563 | 3.827307 | 2.533763 |
| 2459827 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.099514 | 23.495499 | 21.196436 | 17.073571 | 11.578956 | 9.740239 | 6.151541 | 5.733948 | 0.7296 | 0.6406 | 0.4148 | 7.486677 | 5.597722 |
| 2459826 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 22.734270 | 20.508592 | 17.521752 | 14.298343 | 28.460117 | 18.259612 | 12.401817 | 11.727098 | 0.7708 | 0.5264 | 0.5248 | 4.580231 | 3.037313 |
| 2459825 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.903731 | 22.401989 | 13.229423 | 10.442460 | 15.448835 | 10.307941 | 1.159175 | 1.261010 | 0.7688 | 0.5359 | 0.5230 | 0.000000 | 0.000000 |
| 2459824 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 19.684153 | 19.970398 | 18.095388 | 13.995130 | 3.897410 | 5.987263 | 9.428513 | 9.331990 | 0.6789 | 0.6976 | 0.3660 | 0.000000 | 0.000000 |
| 2459823 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 23.356454 | 20.746128 | 14.568550 | 11.853466 | 21.205165 | 16.404572 | 8.197825 | 4.923311 | 0.7287 | 0.6002 | 0.4684 | 0.000000 | 0.000000 |
| 2459822 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.522487 | 22.064921 | 16.172459 | 13.162970 | 18.604357 | 13.762510 | 2.999254 | 2.291288 | 0.7642 | 0.5591 | 0.5043 | 0.000000 | 0.000000 |
| 2459821 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 28.047283 | 25.490722 | 15.927167 | 13.245873 | 14.844564 | 11.669550 | -0.018707 | 0.193344 | 0.7484 | 0.5536 | 0.5073 | 5.839193 | 4.970695 |
| 2459820 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 25.698171 | 24.567044 | 19.133418 | 15.410774 | 35.583570 | 28.280266 | 16.289230 | 16.266219 | 0.7362 | 0.6400 | 0.4205 | 0.000000 | 0.000000 |
| 2459817 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 43.214652 | 43.627320 | inf | inf | 2835.137997 | 2779.314737 | 2991.722665 | 2885.010148 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459816 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 20.566336 | 19.046653 | 19.040834 | 14.715127 | 29.199125 | 22.522686 | 12.680836 | 13.561065 | 0.8214 | 0.5470 | 0.6030 | 6.347615 | 4.200114 |
| 2459815 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 24.081011 | 21.233487 | 14.682765 | 11.682687 | 28.918780 | 22.542756 | 15.801420 | 16.099447 | 0.7404 | 0.5929 | 0.5188 | 6.155521 | 4.667084 |
| 2459814 | RF_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 3.186709 | 2.667968 | 3.186709 | -0.362749 | 1.402345 | -0.488404 | 0.326246 | -0.342901 | -2.402169 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Temporal Variability | 6.714768 | 3.770160 | 3.154269 | 1.630437 | -0.064081 | 0.583180 | 6.714768 | -0.820199 | -0.780988 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 3.107179 | 3.107179 | 2.711972 | 1.070626 | -0.936439 | 0.078211 | -0.118757 | -1.462327 | -0.990292 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.994058 | 2.994058 | 2.019636 | 1.068647 | -0.974677 | 0.385890 | 0.450335 | -1.324124 | -0.906208 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.253861 | 1.961778 | 2.253861 | -0.854507 | 1.182740 | -0.796921 | 0.279996 | -0.923837 | -1.995819 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Temporal Variability | 5.006177 | 1.812582 | 2.372678 | -0.398683 | 1.550606 | 5.006177 | 1.177975 | -0.997722 | -1.319331 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Temporal Variability | 2.853439 | 1.461567 | 2.225311 | 0.073960 | 1.372131 | 2.853439 | 0.144559 | -1.010469 | -1.180496 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | 2.396863 | 2.343243 | 2.396863 | 1.950381 | -0.007175 | 1.563766 | -1.166782 | 1.306811 | -0.886095 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Temporal Variability | 6.701592 | 2.326991 | 2.534233 | -0.521379 | 1.393433 | 6.701592 | 0.928598 | -0.935199 | -1.048236 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.590048 | 2.590048 | 1.825203 | 1.184961 | -0.283239 | 0.978154 | 1.176661 | -1.899883 | -1.661663 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.478391 | 1.842742 | 2.478391 | -0.153129 | 1.425507 | 0.536264 | -0.039692 | -1.339416 | -1.673409 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.226469 | 2.226469 | 1.759140 | 1.784918 | 0.114934 | 0.770453 | 0.523529 | -1.683650 | -1.543832 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.225978 | 1.950872 | 2.225978 | 0.045146 | 1.963448 | 1.181127 | 0.673173 | -1.074122 | -0.488236 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.656062 | 2.656062 | 2.151761 | 1.713428 | -0.031452 | 0.193967 | 0.795238 | -2.056449 | -2.196479 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.176656 | 1.656006 | 2.176656 | 0.332210 | 1.851494 | 1.040254 | 1.073958 | -0.740585 | -0.115683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.609195 | 1.414536 | 2.609195 | -0.268034 | 0.858207 | -1.130398 | -0.359336 | -1.039969 | -1.049250 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | 9.288725 | 6.796492 | 9.288725 | 1.102283 | 0.091442 | 1.757784 | 1.501639 | -0.213663 | -0.630419 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 29.781756 | 4.848770 | 5.544696 | 23.732045 | 29.781756 | 5.952287 | 3.958590 | 4.050558 | 9.682489 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 2.122853 | 1.466962 | 2.122853 | 0.416284 | 1.808089 | -0.977531 | 0.536965 | -1.476929 | -1.375181 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 26.247752 | 4.024894 | 4.539198 | 21.283448 | 26.247752 | 3.412754 | 2.194004 | -0.852426 | -0.492781 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 30.687032 | 6.956952 | 7.194607 | 23.437951 | 30.687032 | 4.885400 | 3.097582 | -0.845990 | 0.203631 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 34.617996 | 3.710179 | 4.371767 | 27.193800 | 34.617996 | 7.155446 | 6.334840 | -0.028091 | -0.713901 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 27.673543 | 4.554287 | 4.966361 | 22.361684 | 27.673543 | 3.074422 | 1.704452 | -1.264628 | -0.274473 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 1.103651 | 0.953847 | 1.103651 | -1.887350 | -0.675306 | -1.509662 | -2.026685 | -1.811877 | -2.031896 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | 33.931589 | 4.139527 | 4.661015 | 27.778583 | 33.931589 | 4.994457 | 3.308668 | -2.613922 | -1.888663 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Temporal Variability | 31.946289 | 28.724931 | 25.883023 | 17.483701 | 13.912011 | 31.946289 | 25.975653 | 11.501060 | 8.862589 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Temporal Discontinuties | 33.949507 | 30.953119 | 31.357030 | 13.523186 | 16.744631 | 12.577769 | 13.891978 | 33.949507 | 33.543810 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 24.502760 | 22.795346 | 24.502760 | 10.458904 | 12.830220 | 13.894247 | 20.028370 | 20.417951 | 19.722520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 24.099514 | 24.099514 | 23.495499 | 21.196436 | 17.073571 | 11.578956 | 9.740239 | 6.151541 | 5.733948 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Temporal Variability | 28.460117 | 20.508592 | 22.734270 | 14.298343 | 17.521752 | 18.259612 | 28.460117 | 11.727098 | 12.401817 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 24.903731 | 22.401989 | 24.903731 | 10.442460 | 13.229423 | 10.307941 | 15.448835 | 1.261010 | 1.159175 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | 19.970398 | 19.684153 | 19.970398 | 18.095388 | 13.995130 | 3.897410 | 5.987263 | 9.428513 | 9.331990 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 23.356454 | 20.746128 | 23.356454 | 11.853466 | 14.568550 | 16.404572 | 21.205165 | 4.923311 | 8.197825 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 24.522487 | 24.522487 | 22.064921 | 16.172459 | 13.162970 | 18.604357 | 13.762510 | 2.999254 | 2.291288 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Shape | 28.047283 | 25.490722 | 28.047283 | 13.245873 | 15.927167 | 11.669550 | 14.844564 | 0.193344 | -0.018707 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Temporal Variability | 35.583570 | 25.698171 | 24.567044 | 19.133418 | 15.410774 | 35.583570 | 28.280266 | 16.289230 | 16.266219 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Power | inf | 43.214652 | 43.627320 | inf | inf | 2835.137997 | 2779.314737 | 2991.722665 | 2885.010148 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Temporal Variability | 29.199125 | 19.046653 | 20.566336 | 14.715127 | 19.040834 | 22.522686 | 29.199125 | 13.561065 | 12.680836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | ee Temporal Variability | 28.918780 | 21.233487 | 24.081011 | 11.682687 | 14.682765 | 22.542756 | 28.918780 | 16.099447 | 15.801420 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 207 | N19 | RF_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |